The Proceedings of the Transportation and Logistics Conference
Online ISSN : 2424-3175
2005.14
Session ID : 2101
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2101 Study on Analysis of Longitudinal Control at Vehicle Following Condition from viewpoint of Information Analysis
Ryo IWAKITetsuya KANEKOIchiro KAGEYAMA
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Abstract
This paper is concerned with the behavior of drivers of heavy-duty vehicles in following cars analyzed using a driver model. We first focus on a way for drivers to obtain information so that they can longitudinally control their vehicles. The model is used to describe two kinds of control methods for drivers; the first is feed-forward, and the second is feed-back. Using multiple regression analysis, the feed-forward model was constructed taking time delay and the cut-off frequency of information into consideration. A feed-back model for information that cannot be described by feed-forward control was also constructed. Using a combination of the feed-forward and feedback model, a fore and aft control model was constructed, and we found that the driver model could provide a good description of actual driver behavior. Finally, major factors involved with getting control information to the driver are clarified using factor analysis.
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© 2005 The Japan Society of Mechanical Engineers
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